mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
55c1b2a3bb
* iq1_m: basics * iq1_m: basics-2 * iq1_m: CUDA dequantize works Very 1st shot I get PPL = 9.76 for LLaMA-v2-7B. * iq1_m: separate shifts for each group of 8 in a block We get PPL(LLaMA-v2-7B ) = 9.2810 PPL(LLaMA-v2-13B) = 6.8105 Not bad, but slightly higher than sqrt(PPL(IQ1_S) * PPL(IQ2_XXS)) which is the expected outcome given that IQ1_M is halfway between IQ1_S and IQ2_XXS in terms of bpw. From this, we would expect PPL = 9.14 for LLaMA-v2-7B PPL = 6.63 for LLaMA-v2-13B * iq1_m: go to 3-bit scales There is slight increase in PPL, but the 0.0625 bpw reduction in size is totally worth it. We now have PPL(LLaMA-v2-7B ) = 9.4469 at 1.96 bpw PPL(LLaMA-v2-13B) = 6.8717 at 1.93 bpw PPL(LLaMA-v2-70B) = 4.8568 at 1.85 bpw * iq1_m: scalar dot product * iq1_m: AVX2 dot product * iq1_m: very slightly faster AVX2 dot product * iq1_m: ARM_NEON dot product Works, but very slow (10.5 t/s) * iq1_m: Metal - dequantize works, dot product does not * iq1_m: Metal now works About the same performance as iq1_s. * iq1_m: minor * iq1_m: checking pure iq1_m quantization It is pretty bad: PPL(LLaMA-v2-7B) = 34 if we quantize output.weight with Q4_K. * iiq1_m: slightly faster ARM_NEON dot product 10.5 t/s -> 11.65 t/s * iq1_m: faster ARM_NEON dot product 11.65 t/s -> 14.9 t/s * iq1_m: another minor ARM_NEON dot product improvement 14.9 -> 15.0 t/s * iq1_m: small PPL improvement via super-block scale adjustment After quantizing block scales redo the super-block scale fit. PPL(LLaMA-v2-7B ) = 9.3346 PPL(LLaMA-v2-13B) = 6.8419 PPL(LLaMA-v2-70B) = 4.8294 PPL(Mistral-7B ) = 8.1624 * iq1_m: adapt to CUDA refactoring * iq1_m: remove unused variable We have progressed to warnings being errors. * iq1_m: add to backend-ops tests * iq1_m: fix Windows ARM * iq1_m: use common definition of iq1m_scale_t * cuda: assert -> NO_DEVICE_CODE * iq1_M: PR comments --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com> |
||
|---|---|---|
| .. | ||
| acc.cu | ||
| acc.cuh | ||
| alibi.cu | ||
| alibi.cuh | ||
| arange.cu | ||
| arange.cuh | ||
| argsort.cu | ||
| argsort.cuh | ||
| binbcast.cu | ||
| binbcast.cuh | ||
| clamp.cu | ||
| clamp.cuh | ||
| common.cuh | ||
| concat.cu | ||
| concat.cuh | ||
| convert.cu | ||
| convert.cuh | ||
| cpy.cu | ||
| cpy.cuh | ||
| dequantize.cuh | ||
| diagmask.cu | ||
| diagmask.cuh | ||
| dmmv.cu | ||
| dmmv.cuh | ||
| getrows.cu | ||
| getrows.cuh | ||
| im2col.cu | ||
| im2col.cuh | ||
| mmq.cu | ||
| mmq.cuh | ||
| mmvq.cu | ||
| mmvq.cuh | ||
| norm.cu | ||
| norm.cuh | ||
| pad.cu | ||
| pad.cuh | ||
| pool2d.cu | ||
| pool2d.cuh | ||
| quantize.cu | ||
| quantize.cuh | ||
| rope.cu | ||
| rope.cuh | ||
| scale.cu | ||
| scale.cuh | ||
| softmax.cu | ||
| softmax.cuh | ||
| sumrows.cu | ||
| sumrows.cuh | ||
| tsembd.cu | ||
| tsembd.cuh | ||
| unary.cu | ||
| unary.cuh | ||
| upscale.cu | ||
| upscale.cuh | ||
| vecdotq.cuh | ||